Marketing Attribution Software Development
Ad spend spreads across Google, Meta, TikTok, and a handful of other platforms, plus content, email, and outbound - and each platform reports its own version of what drove the sale. Off-the-shelf attribution tools apply the same multi-touch model to every business, whether or not it matches how your customers actually buy. We build attribution models around your actual customer journey, so you own the data and the logic instead of renting a black-box algorithm.
Multi-touch attribution modeled around your actual customer journey, not a generic template
Unified tracking across ad platforms, content, email, and offline touchpoints in one data model
First-party data you own, not a black-box algorithm you rent by the seat
Fixed-cost delivery, scoped up front, with source code ownership
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
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The brief
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Every ad platform showing you a different number for what actually drove the sale, so no one agrees where next quarter's budget should go?
Outgrown your attribution tool once your channel mix, sales cycle, or offline touchpoints got more complex than a per-pixel model can track?
Plain answer
Marketing attribution software tracks which channels and touchpoints actually drive revenue, connecting ad spend, content, and sales activity to closed deals instead of a last-click guess. DTC and B2B brands with a complex channel mix, multiple ad platforms, offline touchpoints, or a long sales cycle turn to custom attribution once off-the-shelf tools stop matching how their customers actually convert. RaftLabs builds a focused attribution MVP for $20,000-$50,000 over 12-15 weeks, or a full platform with multi-touch modeling and dashboards for $50,000-$100,000 over 15-18 weeks, at a fixed cost.
What to remember
Proof
Every ad platform reports its own version of what drove the sale, so the numbers rarely match, and someone still has to decide which one to trust before the next budget meeting. That gets harder, not easier, once you're running multiple platforms, publishing content, sending email, and closing deals over a sales cycle that lasts weeks or months. We build the attribution layer that gives you one model instead of five conflicting reports.
Capabilities
An attribution model built around your actual customer journey, not a generic first-click or last-click default, scoped to how your customers really convert.
Spend and conversion data pulled from Google, Meta, TikTok, and other ad platforms into one data model, so channel performance is compared on the same terms.
Calls, events, in-store visits, and long B2B sales cycles tracked alongside digital touchpoints, so offline activity isn't left out of the attribution picture.
Your customer and conversion data lives in infrastructure you own, not inside a vendor's black-box algorithm you're renting by the month.
Dashboards built around the decisions your team actually makes, budget reallocation, channel investment, campaign cuts, not a generic report template.
Data pulled automatically from your CRM, ad accounts, and analytics tools, so attribution updates without anyone exporting a spreadsheet.
How we work
We map your ad platforms, sales cycle, offline touchpoints, and the decisions your attribution model needs to support. You leave with a written scope and a fixed-price quote.
We design the attribution data model, the integration layer for each channel, and the reporting structure your team will actually use.
You review working software at each sprint. Tracking, modeling, and dashboards are built and tested incrementally.
The model runs against real campaign data so your team can validate attribution accuracy before budget decisions depend on it.
Why us
The engineers who map your channels also build the attribution layer. No offshore handoff after the contract is signed.
We scope the work, calculate the cost, and lock it in writing before any development starts.
A track record building data pipelines and reporting dashboards that process real campaign and CRM data at scale.
No vendor lock-in after delivery, and no algorithm you have to keep renting. The codebase, and the data model inside it, is yours.
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Read moreMarketing attribution software tracks which marketing touchpoints, ad platforms, content, email, and sales activity actually contribute to a closed deal or purchase, instead of crediting the last click or first click by default.
Yes. We build the attribution model around your actual customer journey, whether that's a short DTC purchase path or a long B2B sales cycle with multiple stakeholders, during discovery.
Yes. Pulling spend and conversion data from Google, Meta, TikTok, and other ad platforms, plus offline touchpoints like calls, events, and in-store visits, into one data model is the core of most requests in this space.
A focused attribution MVP typically runs $20,000-$50,000 and takes 12-15 weeks. A full platform with multi-touch modeling, unified tracking, and dashboards runs $50,000-$100,000 over 15-18 weeks. We scope a fixed cost after discovery.
Established platforms like Triple Whale and Northbeam are strong tools for DTC brands whose channel mix fits their model, and Northbeam's pricing starts around $1,500 a month. Custom software makes sense once your channel mix, sales cycle, or offline touchpoints get complex enough that a per-pixel model stops tracking what actually happened. We help assess the right fit during discovery.
DTC and B2B brands that have outgrown per-pixel SaaS attribution tools like Triple Whale, Rockerbox, or Northbeam, usually because they run multiple ad platforms, have offline touchpoints, or have a sales cycle too long for a standard multi-touch template to model accurately.
Work with us
Tell us how your channel mix and sales cycle actually work today, and where the reporting breaks down. We'll scope a fixed-cost build.